Data Science Analyst

Dallas, TX, US • Posted 1 day ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Reporting
  • Data Science
  • Critical Thinking
  • Data Integrity
  • Quality Control
  • Presentations
  • Data Analysis
  • Professional Development
  • Statistical Models
  • Data Mining
  • Computer Science
  • Mathematics
  • Statistics
  • R
  • Python
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Sourcing
  • SQL
  • Machine Learning (ML)
  • Data Visualization
  • Open Source
  • matplotlib
  • Plotly
  • Management
  • Modeling
  • Insurance
  • Collaboration
  • IBM Rational DOORS
  • Innovation
  • Immigration

Summary

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization

Job Duties:
  • Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model, and other analysis prior to presenting with internal customers
  • Apply insights from data analysis to guide the development of business initiatives.
  • Apply various machine learning techniques to build predictive models.
  • Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Required Skills and Experience:
  • 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques. Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Technical Skills- R, Python, SQL, Google Cloud (Google Cloud Platform), AWS Proficiency in data sourcing/manipulation in SQL
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance.
  • Strong data visualization skills using open-source tools (seaborns, matplotlib, plotly, ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques.

Benefits Summary:

Medical/Dental/Vision

401k plus a company match

ESPP - Employee Stock Purchase Plan

EAP - Employee Assistance Program (no cost to you)

Vacation & Sick pay

Paid Company Holidays

Life and AD&D Insurance

Discounts

Along with many other employee benefits.

#LI-KK1

At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.

E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX16f9be
  • Position Id: 88065ed9ec0b234fe8642682ee4148dd
  • Posted 1 day ago
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